The maximum likelihood method with estimated nuisance parameters in hazard rate models with discontinuities
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Let X 1,...,X n be i.i.d. with common hazard function, a step function with exactly one jump. The location of the jump is the parameter of interest and is to be estimated based on our sample. We prove consistency and convergence in law of our estimators with rate n and non-normal limit distribution. There is also L p -convergence with exact rate n -1. This statistical experiment is non-regular in the sense of Ibragimov and Has'minskii (1981). Our approach is extended to general hazard functions with one jump-point. The basic idea can also be used in a complete nonparametric framework.
Details
Original language | English |
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Pages (from-to) | 1091-1114 |
Number of pages | 24 |
Journal | Statistica Sinica / International Chinese Statistical Association ; Institute of Statistical Science, Academia Sinica, Taipei |
Volume | 17 |
Issue number | 3 |
Publication status | Published - Jul 2007 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- Argmax of Poisson-process, Change-point, Maximum-likelihood, Nonparametric hazard